1.xView2-xBD
introduction register to download
xBD: Annotated high-resolution satellite imagery for building damage assessment
6 disaster types, 850,736 buildings, 45,361 sq km
2.xView 2018 Object Detection Challenge部分
subset： labeled as Building - Damaged Building
3.EarthquakeDamageDetection
Introduction Download (in train_set and test_set folders)
4.Predict the damage to a building
non-image data for ML
5.DAMAGED BUILDING DETECTION FROM POST-HURRICANE REMOTELY SENSED IMAGERY
Introduction only available for IEEE member
Data can be used for object detection algorithms to properly annotate post disaster buildings as either damaged or non damaged aiding disaster response. This dataset contains ESRI Shapefiles of bounding boxes of buildings labeled as either non-damaged or damaged. Those labeled as damaged also have four degrees of damage from minor to catastrophic. Importantly, each bounding box is also indexed to one of the images in the NOAA post Harvey hurricane imagery dataset allowing users to match the bounding boxes with the correct imagery for training the algorithm.